In the modern digital world, cybehrosis is constantly developing. The widespread use of artificial intelligence in cyber ends has become one of the most significant events of recent years. As the technology develops, attackers use them to conduct more sophisticated and effective attacks. Cyberataki based on artificial intelligence can be divided into 5 main types:
- improved constant threat (APT). This is a hidden threat, behind which is usually a national state or a group sponsored by the state, which receives unauthorized access to a computer network and remains unnoticed for a long period of time. APT groups often use artificial intelligence to avoid detection and aim at their victim.
- Dipfack attack. In them, hackers use videos or images created by neural networks to impersonate real people and conduct campaigns on fraud or misinformation.
- Malicious software based on AI. Such malicious software can work independently and adapt to changing conditions. It also helps to avoid detection.
- Fishing. Using the processing of a natural language (NLP) and machine learning (ML), attackers can create more convincing phishing emails and messages designed to make people reveal their personal data with deception.
- DDOS attacks. Here, artificial intelligence is used to identify and use vulnerabilities on the network, which allows cybercriminal to increase the scale and impact of attack.
The threats of cybersecurity based on artificial intelligence cause great fears of both organizations and individuals, since such cyber attacks can bypass traditional security measures and cause significant damage. Therefore, it is very important to use reliable measures of cybersecurity.
It previously became known that cybercriminals, some with a little experience in programming or without it, used ChatGPT to create malicious software and phishing letters that could be used to conduct espionage, extortion attacks, spam and other malicious campaigns.